Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar

Ji-Young Kim, Ki-Yong Oh, Min-Suek Kim and Kwang-Yul Kim

Renewable Energy, 2019, vol. 144, issue C, 41-55

Abstract: Wind resource assessments with onsite wind data are indispensable when estimating the economic feasibility of developing a large-scale commercial offshore wind farm. However, several factors of the data measured from a meteorological mast, including short observation period and instrument errors, may result in uncertainty concerning wind resource assessments. To mitigate the uncertainty of wind resource assessments at the candidate site for a large-scale commercial offshore wind farm, HeMOSU-1, the first offshore meteorological mast in Asia, has been in operation for more than 6 years since it was installed at the western coast of the Korean Peninsula in 2010. A vertical wind lidar was also installed for quantitative evaluations and calibrations of the measured data from HeMOSU-1. This study analyzed several parameters associated with the long-term wind characteristics through cross-validation between HeMOSU-1 and the wind lidar. The parameters affecting the prediction results include the shading effect from the mast, year-to-year variation, the long-term correction methods, and the period of onsite measurements. Based on this analysis, long-term wind potentials are estimated with reliable parameters.

Keywords: Offshore wind farm; Offshore wind energy; Wind resources; Wind lidar; Meteorological mast; Long-term measurements (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:144:y:2019:i:c:p:41-55

DOI: 10.1016/j.renene.2018.06.097

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